Oliver Wyman - Digital - AI Product Engineer - Dubai/Abu Dhabi

About the Role / About the Job
As an AI Product Engineer, you will play a pivotal role in constructing the AI products and agentic solutions that underpin our AI-first transformation initiatives for both clients and the firm itself. Your responsibilities will encompass the entire lifecycle of AI product development: from data collection and retrieval to agent orchestration, integration, user interfaces, deployment, evaluation, and ongoing enhancements. You will collaborate within small, multidisciplinary teams alongside AI Product Owners, consultants, industry experts, and client teams, effectively contributing to live projects. This position is ideal for engineers eager to deploy production-grade AI solutions, witness their real-world impact, and gain the experience necessary to lead holistic AI product development.

What You Will Do

• Full-stack AI products: Develop and integrate user interfaces, backend services, and APIs into complete AI applications, applying suitable frontend frameworks and user experience principles.
• Agent development and context engineering: Create single and multi-step agents utilizing tools, state, memory, and human checkpoints. Design, test, and optimize agent instructions, context, memory, and tool specifications to enhance task completion, reliability, latency, and cost.
• Reliable agent execution: Create agent workflows with durable state, resumability, failure recovery, safe retries, timeouts, and rollback for actions that cannot simply be reversed.
• Data and knowledge engineering: Develop retrieval and knowledge pipelines, prepare structured and unstructured data, and design knowledge stores ensuring appropriate data quality, lineage, protection, and access controls.
• Architecture and integration: Design, build, and deploy AI applications on cloud platforms such as AWS, involving compute, storage, databases, networking, and containerized services. Integrate with enterprise systems through APIs and standard integration patterns, accommodating client cloud and on-premise environments.
• Security and AI safety: Implement secure engineering practices and least-privilege access while designing permission boundaries, managing untrusted content, ensuring connector security, and isolating between clients or tenants. Support IT, Risk, and Legal approvals.
• Evaluation and operations: Establish evaluation and regression-testing practices utilizing representative tasks, execution traces, and production feedback. Monitor quality, latency, and cost; design for maintainable operations, collaborating with client technology or platform teams to facilitate product support in production.
• Collaboration and client impact: Interpret product objectives into sound technical decisions alongside AI Product Owners, clarify trade-offs and risks to non-technical stakeholders, and equip client teams to manage our developed solutions.
• Continuous improvement: Utilize AI coding tools productively while maintaining the quality of your deliveries. Contribute reusable components and standards, and as you gain experience, take lead roles in workstreams and mentor peers.

Skills and Qualifications
We welcome candidates from various experience levels and assess what candidates can demonstrate. For early-career candidates, strong coding fundamentals, hands-on AI application experience, and sound technical judgment are prioritized. With experience, skills in complex architecture, production operations, and team leadership can develop. Ideal candidates will possess most of the following:

• A degree in computer science, engineering, or a related field, or equivalent practical experience.
• Demonstrated software engineering experience through employment, independent projects, coursework, or open-source contributions; production delivery experience is particularly valued for more senior roles.
• Strong coding skills in Python and/or TypeScript, including readable code, debugging, source control, and automated testing; familiarity with code review and CI/CD is advantageous.
• Evidence of developing a working LLM-powered application or agent, utilizing tools or APIs, retrieval, or prompt and context design, along with the ability to articulate successes and challenges.
• Capability to develop software components and integrate with APIs, with a commitment to grow across user interfaces, backend services, and full-stack delivery.
• Foundational data skills, including SQL and working with structured or unstructured information; deeper pipeline and knowledge engineering experience can be cultivated in this role.
• Practical experience with cloud platforms, preferably AWS, including application deployment, cloud service management, and working with containers, APIs, and cloud infrastructure.
• Understanding of cloud security, identity and access management, networking, monitoring, and cost optimization.
• A security-first mindset and awareness of AI-related risks, such as prompt injection, unsafe tool utilization, secrets exposure, and data leakage.
• Comprehension of software testing principles and the necessity for scenario-based evaluation of agent outputs, encompassing both expected and unexpected behaviors.
• Product curiosity and the aptitude to explain technical decisions and trade-offs to both technical and non-technical colleagues.
• Excellent written and verbal communication skills in English.

Nice to Have

• Experience with multi-agent orchestration, complex enterprise integrations, vector or graph databases, or observability tooling.
• Familiarity with AWS services such as Bedrock, Lambda, ECS/EKS, S3, RDS, IAM, and CloudWatch, or equivalent services on Azure or Google Cloud.
• Background in infrastructure as code (e.g., AWS CDK), automated cloud deployments, and enterprise cloud security practices.
• Awareness of AI security and governance frameworks.
• Experience in consulting, client-facing roles, startups, or regulated and governmental environments.
• A portfolio showcasing code, working demonstrations, or shipped products that illustrate individual contributions.

Why Work Here?
As part of a global, entrepreneurial company, you will engage in meaningful work from your first day. We seek individuals who challenge conventional thinking and strive to innovate for the firm and the broader community.

There's no "one size fits all" here; we prioritize exceptional individuals and bolster their growth through robust support networks, flexible career paths, and the elimination of artificial barriers to advancement.

Our environment is characterized by collaboration, support, and impactful teamwork. We encourage you to embrace your authentic self and foster connections with diverse and down-to-earth colleagues who are serious about their work but not overly serious about themselves.

Our Values

• Be brave: Stand by your beliefs while exploring what drives them, persevere through challenges, and remain open to possibilities.
• Lead with heart: Cultivate lasting relationships with clients and colleagues based on transparency, authenticity, and trust.
• Strive for breakthroughs: Approach ambitious ideas and uncommon insights with deep expertise and curiosity.
• Work as one: Achieve success as a united team, learning from differences and celebrating shared accomplishments.
• Own our impact: Act as entrepreneurs, maintaining integrity and holding ourselves accountable to deliver impactful results.

This organization operates as a global leader in management consulting with a focus on deep industry knowledge combined with specialized expertise in strategy, operations, risk management, and organizational transformation.